In this video we will demonstrate the integration between Emam Media Asset Management
and 12 Labs Pegasus and Meringo
AI Multimodel.
We will explore how the integration streamlines media asset management,
enhances content analysis,
and optimizes production workflows.
Here is an overview of the EMA Media Asset Management systems.
EMA is a comprehensive ma'am designed to streamline media workflows
from ingest to distribution.
Key features include centralized media storage and organization.
Metadata management and tagging.
Collaboration tools for team-based workflows.
Advanced search and retrieval capabilities.
Integration with third party tools to enhance functionality.
An introduction to 12 Labs,Pegasus and Meringo AI Solutions.
Pegasus is 12 Labs flaghi multimodal analysis platform capable of analyzing audio,
video,
and text data using advanced AI algorithms.
Marengo AI complements Pegasus by providing automated transcription,
translation,
sentiment analysis,and content summarization.
EMM and 12 Labs integration workflows.
EMA seamlessly integrates with 12 Labs Pegasus and Meengo AI
to enhance media analysis and metadata enrichment.
Upon media ingest into Eam,
files are manually or automatically passed to the Pegasus for analysis and processing.
Pegasus utilizes AI algorithms to extract insights from media content
including speech recognition,
object detection,
scene analysis,
and sentiment analysis.
Extracted insights
are then passed back to Emam
and associated with the corresponding media
assets as metadata.
Marengo AI further enhances metadata by providing automated transcription,translation,sentiment analysis,
and content summarization
all integrated within the EMam interface.
Here is a demo of the workflow.
Let's walk through a typical media production scenario using the integrated EMA,
Pegasus,
and Meringo AI workflow.
Ingest
import media assets into Emam and assign them to categories.
Analysis Pegasus will analyze media assets and relevant content.
Such as objects,
scenes,speech,and sentiment.
Metadata enrichment.
Extracted insights from Pegasus and Marengo AI are added as metadata to the media assets within Emam.
Search and retrieval
utilize Emam's advanced search capabilities to quickly find relevant media assets based on enriched metadata.
Collaboration and production.
Collaborate with team members utilizing enriched metadata
for content creation,
editing,and distribution.
Create rough cut timelines to share with your team
or import into Adobe Premiere Pro.
Utilizing the same AI features in Adobe Premiere Pro panel.
Select index media and preview highlights.
Summary
In chapters
Benefits of this integration.
Efficiency
automated analysis and metadata enrichment streamline media workflows,reducing manual effort and time.
In sight
Enhanced metadata provides deeper insights into media content,
facilitating better decision making and content creation.
Accuracy
AI powered analysis ensures accurate tagging and metadata enrichment,
improving searchability and content discoverability.
Scalability.
The integrated solution scales with the growing volume of media assets,
maintaining efficiency and performance.
Conclusion
The integration of EMam Media Asset Management in 12 Labs Pegasus and Meengo AI
offers a powerful solution for media organizations seeking to streamline workflows,enhancing content analysis,
and optimizing production processes.
Thank you for watching.
If you have any questions or would like to see a live demonstration,
please don't hesitate to reach out to the EMA team
at sales@emamsolutions.com
or visit our website at eMamsolutions.com.In this video we will demonstrate the integration between Emam Media Asset Management
or visit our website at eMamsolutions.com.